The Amazon cross-channel marketing measurement and optimization team is looking for an applied scientist to join us. The candidate will contribute to the development of statistical methods for ad measurement and optimization and scalable solution to measure incremental effects of marketing. The successful candidate will be a daring hands-on self-starter, comfortable with ambiguity, humble to seek feedback and learn from other team members, bold to think big, has solid attention to detail and believes in challenging himself to raise the bar continuously. Overall, the candidate’s responsibilities include: · Build statistical models and conduct statistical/machine learning analyses to measure the financial impact of cross channel marketing · Build scalable analytic solutions using state of the art tools based on large datasets · Work closely with both business units and engineering teams to formulate measurement problems and associated technical solution strategies
· · MS in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field · 5+ years of hands-on experience in predictive modeling and analysis · Strong algorithm development experience · Skills with Java, C++, or other OOP language, as well as with Python, R, MATLAB or similar scripting language · Strong communication and data presentation skills · PhD in Computer Science, Machine Learning, Applied Machine Learning, Deep Learning, Statistics, Applied Statistics, Computational Statistics, Computational Physics, Computational Biology, Scientific Computing, or